Options
Explanation-based Ranking in Opinionated Recommender Systems
Author(s)
Date Issued
2018-09-21
Date Available
2019-04-15T10:05:08Z
Abstract
Explanations can help people to make better choices, but their use in recommender systems has so far been limited to the annotation of recommendations after they have been ranked and suggested to the user. In this paper we argue that explanations can also be used to rank recommendations. We describe a technique that uses the strength of an item’s explanation as a ranking signal – preferring items with compelling explanations – and demonstrate its efficacy on a real-world dataset.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
CEUR Workshop Proceedings
Web versions
Language
English
Status of Item
Peer reviewed
Conference Details
The 24th Irish Conference on Artificial Intelligence and Cognitive Science, University College Dublin, Ireland, 20-21 September 2016
This item is made available under a Creative Commons License
File(s)
Owning collection
Views
596
Acquisition Date
Mar 28, 2024
Mar 28, 2024
Downloads
239
Last Week
1
1
Last Month
10
10
Acquisition Date
Mar 28, 2024
Mar 28, 2024